Prediction of the waste stabilization pond performance using linear multiple regression and multi-layer perceptron neural network: a case study of Birjand, Iran

Prediction of the waste stabilization pond performance using linear multiple regression and multi-layer perceptron neural network: a case study of Birjand, Iran

Background: Data mining (DM) is an approach used in extracting valuable information from environmental processes. This research depicts a DM approach used in extracting some information from influent and effluent wastewater characteristic data of a waste stabilization pond (WSP) in Birjand, a city...

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Bibliographic Details
Main Authors: Maryam Khodadadi, Alireza Mesdaghinia, Simin Nasseri, Mohammad Taghi Ghaneian, Mohammad Hassan Ehrampoush, Mahdi Hadi
Format: Article
Language:English
Published: Kerman University of Medical Sciences 2016-06-01
Series:Environmental Health Engineering and Management
Subjects:
Data mining
Multiple regression
Neural network
Waste stabilization pond
Online Access:http://www.ehemj.com/browse.php?a_id=161&slc_lang=en&sid=1&ftxt=1

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http://www.ehemj.com/browse.php?a_id=161&slc_lang=en&sid=1&ftxt=1

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